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Congratulations to Dr. Thomas Hertz, a Senior Economist at the IRS and RegLab collaborator! Bestowed annually by the Office of Management and Budget, the award recognizes “evaluation mavericks who think up creative and outside-the-box evaluation ideas, help design them, and see them through to execution.”
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The United States needs adaptable and responsive government institutions to effectively tackle the complex challenges facing the country both domestically and internationally.
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In collaboration with Santa Clara County, RegLab led the development and application of an AI model that provides an efficient and effective means of complying with California's Anti-Discrimination Law
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Congratulations to Professor Goldin for recognition of his outstanding early-career impacts on the field of law and economics by the University of Chicago!
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A new RegLab study evaluates the performance of two popular AI-powered legal tools and finds they still hallucinate at alarming rates – underscoring the need for benchmarking and public evaluations of AI tools in law.
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RegLab Executive Director, Christine Tsang, and our research partner, Dr. Sara Cody, Santa Clara County Health Officer, provided expert testimony to the Senate Labor, Public Employment and Retirement Committee on Senate Bill 1070, aimed at enabling talent exchanges into state and local government.
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Congrats to Emily Black and to Arushi Gupta, Victor Wu, Jen King, Helen Webley-Brown and Dan Ho for their awards from the Future of Privacy Forum!
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In a Washington Post op-ed, RegLab’s Dan Ho and Anne Joseph O’Connell recommend that the federal government should leverage the Intergovernmental Personnel Act to enable talent exchange and address its workforce crisis.
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The rapid adoption of LLM-based legal tools has the potential to transform the practice of law, but these tools carry risks that need to be appropriately understood. In a new RegLab study, we test three popular tools and show that hallucinations are pervasive.
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Arushi Gupta, Victor Y. Wu and Helen Webley-Brown won a Best Paper award at the ACM Conference on Fairness, Accountability, and Transparency (FAccT). Co-supervised by Jen King and Dan Ho, the paper examines the privacy-bias tradeoff that has bedeviled U.S. federal agencies.